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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-small |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: flan-t5-small-qa-91 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# flan-t5-small-qa-91 |
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co./google/flan-t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0727 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.1207 | 1.0 | 500 | 0.0685 | |
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| 0.1176 | 2.0 | 1000 | 0.0693 | |
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| 0.116 | 3.0 | 1500 | 0.0696 | |
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| 0.1152 | 4.0 | 2000 | 0.0709 | |
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| 0.1138 | 5.0 | 2500 | 0.0703 | |
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| 0.1134 | 6.0 | 3000 | 0.0717 | |
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| 0.1125 | 7.0 | 3500 | 0.0707 | |
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| 0.1119 | 8.0 | 4000 | 0.0710 | |
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| 0.1115 | 9.0 | 4500 | 0.0717 | |
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| 0.1113 | 10.0 | 5000 | 0.0713 | |
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| 0.111 | 11.0 | 5500 | 0.0721 | |
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| 0.1107 | 12.0 | 6000 | 0.0726 | |
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| 0.1106 | 13.0 | 6500 | 0.0721 | |
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| 0.111 | 14.0 | 7000 | 0.0720 | |
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| 0.1108 | 15.0 | 7500 | 0.0721 | |
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| 0.1106 | 16.0 | 8000 | 0.0722 | |
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| 0.1104 | 17.0 | 8500 | 0.0729 | |
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| 0.1102 | 18.0 | 9000 | 0.0727 | |
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| 0.1101 | 19.0 | 9500 | 0.0727 | |
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| 0.11 | 20.0 | 10000 | 0.0727 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1+cu118 |
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- Tokenizers 0.13.3 |
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